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李荣华,博士

教授,博士生导师

北京理工大学,计算机学院

北京市海淀区中关村南大街5号中心教学楼1233

电子邮箱:lironghuabit@126.com

研究兴趣

图数据管理与挖掘、图计算系统、图神经网络、图表示学习、知识图谱、图论算法的设计与分析、谱图理论、图数据隐私保护、图联邦学习等。

招聘信息

1. 长期招收博士后科研人员。主要工作包括:(a)力争做出高水平科研成果; (b)协助指导课题组学生。

2. 每年招收博士生1人、硕士生4人(有较强的数学功底或者有ACM程序设计竞赛经历的同学将被优先考虑)。

3. 长期招聘本科实习生,进入课题组的本科生将由我和我的博士生共同指导。

 欢迎有意加入本课题组的人员发邮件咨询: lironghuabit@126.com

正在指导的学生    (师生合影)

博士后:秦宏超

博士生:张琦(2018级),代强强(2019级),廖美昊(2020级),李泽宁(2021级),李洵楷(2022级)

硕士生:任泽槟(2019级),高森(2019级),徐兰天(2019级),潘敏佳(2019级),陈久健(2020级),陈子健(2020级),程苗苗(2020级),龙水彬(2020级),蒋佳祺(2021级),叶小伟(2021级),曾越(2021级),马泽航(2021级),胡仲则(2021级)

主要学术论文

Yuxuan Qiu, Dong Wen, Lu Qin, Wentao Li, Rong-Hua Li, Ying Zhang. Efficient Shortest Path Counting on Large Road Networks, VLDB , 2022

Zijian Chen, Rong-Hua Li*, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang. Filtration-Enhanced Graph Transformation, IJCAI , 2022

Gao Sen, Rong-Hua Li*, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang. Colorful h-star Core Decomposition, ICDE , 2022

Minjia Pan, Rong-Hua Li*, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang: Fairness-aware Maximal Clique Enumeration. ICDE,2022

Qi Zhang, Rong-Hua Li*, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan: Efficient Top-k Ego-Betweenness Search. ICDE,2022

Xiaowei Ye, Rong-Hua Li*, Qiangqiang Dai, Hongzhi Chen, Guoren Wang: Lightning Fast and Space Efficient k-clique Counting. WWW,2022

Qiangqiang Dai, Rong-Hua Li*, Meihao Liao, Hongzhi Chen, Guoren Wang: Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach. SIGMOD,2022

Meihao Liao, Rong-Hua Li*, Qiangqiang Dai, Guoren Wang: Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach. SIGMOD,2022

Qi Zhang, Rong-Hua Li, Hongchao Qin, Guoren Wang, Zhiwei Zhang, Ye Yuan. Stable Subgraph Isomorphism Search in Temporal Networks. IEEE Transactions on Knowledge and Data Engineering , (已接收)

Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li. Computing K-Cores in Large Uncertain Graphs: An Index-based Optimal Approach. IEEE Transactions on Knowledge and Data Engineering, (已接收)

Qiangqiang Dai, Rong-Hua Li*, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan. Core Decomposition on Uncertain Graphs Revisited. IEEE Transactions on Knowledge and Data Engineering, (已接收)

Longxu Sun, Xin Huang, Rong-Hua Li, Byron Choi, and Jianliang Xu. Index-based Intimate-Core Community Search in Large Weighted Graphs. IEEE Transactions on Knowledge and Data Engineering, (已接收)

Hongchao Qin, Rong-Hua Li*, Ye Yuan, Guoren Wang, Weihua Yang, and Lu Qin. Periodic Communities Mining in Temporal Networks: Concepts and Algorithms. IEEE Transactions on Knowledge and Data Engineering, (已接收)

Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, and Rui Mao. I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Transactions on Knowledge and Data Engineering, (已接收)   

Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, and Jeffrey Xu Yu: Target-aware Holistic Influence Maximization in Spatial Social Networks.IEEE Transactions on Knowledge and Data Engineering, (已接收)   

Hongchao Qin, Rong-Hua Li*, Guoren Wang, Xin Huang, Ye Yuan, and Jeffrey Xu Yu: Mining Stable Communities in Temporal Networks by Density-based Clustering. IEEE Transactions on Big Data, (已接收)   

Lianpeng Qiao, Rong-Hua Li*, Zhiwei Zhang, Guoren Wang, Ximing Li, and Ye Yuan. Maximal Quasi-Cliques Mining in Uncertain Graphs. IEEE Transactions on Big Data, (已接收)   

Longlong Lin, Pingpeng Yuan, Rong-Hua Li, and Hai Jin. Mining Diversified Top-r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Transactions on Big Data, (已接收)   

Longlong Lin, Pingpeng Yuan,Rong-Hua Li, Jifei Wang,Ling Liu,Hai Jin. Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Systems, Man, and Cybernetics: Systems, (已接收)   

Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. Signed Clique Search in Signed Networks: Concepts and Algorithms, IEEE Trans. Knowl. Data Eng. 33(2): 710-727 (2021)   (pdf)

Shaojie Qiao , Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Heli Sun, and Xindong Wu: Dynamic Community Evolution Analysis Framework for Large-scale Complex Networks Based on Strong and Weak Events. . IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6229-6243, 2021   (pdf)

Qiangqiang Dai, Rong-Hua Li*, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan: Scaling Up Distance-generalized Core Decomposition. CIKM 2021: 312-321   (pdf)

Rong-Hua Li, Sen Gao, Lu Qin, Guoren Wang, Weihua Yang, Jeffrey Xu Yu. Ordering Heuristics for k-clique Listing, VLDB 2020.   (pdf)

Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin: Efficient Top-k Edge Structural Diversity Search. ICDE 2020: 205-216   (pdf)

Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao and Zibin Zheng: Finding skyline communities in multi-valued networks. VLDB Journal 29(6): 1407-1432, 2020.    (pdf)

Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu. Discrete Overlapping Community Detection with Pseudo Supervision, ICDM 2019.   (pdf)

Xiaxia Guan, Shurong Zhang, Rong-Hua Li, Lin Chen, Weihua Yang: Anti-k-labeling of graphs. Applied Mathematics and Computation 363 (2019).   (pdf)

Lu Miao, Shurong Zhang, Rong-Hua Li, Weihua Yang. Structure fault tolerance of k-ary n-cube networks. Theoretical Computer Science, 2019.   (pdf)

Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li. Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference 2019: 1339-1356.   (pdf)

Yu-Xuan Qiu, Rong-Hua Li*,Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao. Efficient Structural Clustering on Probabilistic Graphs, IEEE Transactions on Knowledge and Data Engineering. 31(10): 1954-1968 (2019)   (pdf)

Xi Xiong, Shaojie Qiao, Yuanyuan Li, Haiqing Zhang, Ping Huang, Nan Han, Rong-Hua Li. ADPDF: A Hybrid Attribute Discrimination Method for Psychometric Data With Fuzziness.IEEE Trans. Systems, Man, and Cybernetics: Systems 49(1): 265-278 (2019)   (pdf)

Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li. Index-Based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs. ICDE 2019: 64-75(1 of 8 excellent paper, invited to TKDE)   (pdf)

Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu. Improved Algorithms for Maximal Clique Search in Uncertain Networks. ICDE 2019: 1178-1189   (pdf)

Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining Periodic Cliques in Temporal Networks. ICDE 2019: 1130-1141   (pdf)

Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. Efficient Signed Clique Search in Signed Networks. ICDE 2018: 245-256.(1 of 8 excellent paper, invited to TKDE)   (pdf)

Rong-Hua Li, Jiao Su, Lu Qin, Jeffrey Xu Yu, Qiangqiang Dai. Persistent Community Search in Temporal Networks. ICDE 2018: 797-808   (pdf)  ,  (code)  ,  (A simpler version for chinese students)

Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng. Skyline Community Search in Multi-valued Networks. SIGMOD Conference 2018: 457-472   (pdf)  ,  (code)

Fei Chen, Donghong Wang, Rong-Hua Li, Jianyong Chen, Zhong Ming, Alex X. Liu, Huayi Duan, Cong Wang, Jing Qin. Secure Hashing-Based Verifiable Pattern Matching. IEEE Trans. Information Forensics and Security 13(11): 2677-2690 (2018)   (pdf)

Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, Xindong Wu. Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique. IEEE Trans. Intelligent Transportation Systems 19(7): 2305-2315 (2018)   (pdf)

Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, Xindong Wu. A Fast Parallel Community Discovery Model on Complex Networks through Approximate Optimization. IEEE Transactions on Knowledge and Data Engineering 30(9): 1638-1651 (2018)   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Finding influential communities in massive networks. VLDB J. 26(6): 751-776 (2017)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin. Recursive Stratified Sampling: A New Framework for Query Evaluation on Uncertain Graphs. IEEE Transactions on Knowledge and Data Engineering 28(2): 468-482 (2016)   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Optimal Multi-Meeting-Point Route Search. IEEE Transactions on Knowledge and Data Engineering 28(3): 770-784 (2016)   (pdf)

Can Lu, Jeffrey Xu Yu, Rong-Hua Li*, Hao Wei. Exploring Hierarchies in Online Social Networks. IEEE Transactions on Knowledge and Data Engineering 28(8): 2086-2100 (2016)   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Efficient and Progressive Group Steiner Tree Search. SIGMOD Conference 2016: 91-106   (pdf)

Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Influential Community Search in Large Networks. PVLDB 8(5): 509-520 (2015)   (pdf)

Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu. Top-K structural diversity search in large networks. VLDB Journal 24(3): 319-343 (2015)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin. On random walk based graph sampling. ICDE 2015: 927-938   (pdf)

Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang. Locally Densest Subgraph Discovery. KDD 2015: 965-974   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Rui Mao. Efficient Core Maintenance in Large Dynamic Graphs. IEEE Transactions on Knowledge and Data Engineering 26(10): 2453-2465 (2014)   (pdf)

Rong-Hua Li Jeffrey Xu Yu, Xin Huang, Hong Cheng. Random-walk domination in large graphs. ICDE 2014: 736-747   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin. Efficient and accurate query evaluation on uncertain graphs via recursive stratified sampling. ICDE 2014: 892-903   (pdf)

Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu. Top-K Structural Diversity Search in Large Networks. PVLDB 6(13): 1618-1629 (2013)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu. Scalable Diversified Ranking on Large Graphs. IEEE Transactions on Knowledge and Data Engineering 25(9): 2133-2146 (2013)   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng. Robust Reputation-Based Ranking on Bipartite Rating Networks. SDM 2012: 612-623   (pdf)

Rong-Hua Li, Jeffrey Xu Yu, Jianquan Liu. Link prediction: the power of maximal entropy random walk. CIKM 2011: 1147-1156   (pdf)

主要科研项目

1.    基于5G网络的智能产线云边端协同管控系统的架构设计与安全评估技术,国家重点研发计划课题, 2021YFB3301301, 2021-12 至 2024-01, 188万元, 在研, 主持

2.    面向大规模时序图数据的子图匹配查询处理研究,国家自然科学基金面上项目,62072034,2021-01至2024-12,57万元,在研,主持

3.    面向大规模时态图数据的社区搜索关键技术研究,国家自然科学基金面上项目,61772346,2018-01至2021-12,61万元,已结题,主持。

4.    大规模图数据的最大k边连通子图查询处理研究,国家自然科学青年基金项目,61402292, 2015.01-2017.12,26万,已结题,主持。

5.    面向大规模社交网络的社区搜索算法研究,深圳市战略新兴产业和未来产业专项项目,JCYJ20150324140036826,2015.06-2017.06, 30万,已结题,主持。

主要专利

1.    一种基于时间顺序的轨迹匹配方法,ZL201610235096.9

2.    应用于实时合乘的最优多会合点路径搜索方法及装置,ZL201510274711.2

3.    一种基于MapReduce的大规模图数据关键词搜索方法,ZL201410736421.0

4.    一种广义最大度随机游走图抽样算法,ZL201410749244.X

5.    一种基于k-核的社交网络中的社区搜索方法,ZL201410675746.2

6.    一种基于距离的求解二维空间中代表性节点集的方法,ZL201510021696.0

7.    基于图简化技术的社交网络中用户影响力估算方法及装置,ZL201510336864.5

学术服务

1.    VLDB 2023、WWW 2022、KDD 2022、SIGIR 2022、CIKM 2022、SDM 2021、KDD 2021、SIGIR 2021、WSDM 2021、ICDE 2020、VLDB 2020、SIGIR 2020、KDD 2020、CIKM 2020、KDD 2019、ICDE 2019、KDD 2018、SDM 2018、CIKM 2018、CIKM 2017、SDM 2017、WWW 2016等国际会议的程序委员会委员

2.     ACM TODS、VLDB Journal、IEEE TKDE等国际期刊的审稿人

承担课程

知识图谱与图神经网络(大数据特色课程),2022年春季,北京理工大学

数据结构与算法,2020年秋季、2021年秋季,北京理工大学

程序设计基础,2018秋季、2019秋季,北京理工大学

人工智能与大数据(博士课程),2019秋季、2020春季、2020秋季、2021秋季、北京理工大学

并行算法,2015春季、2016春季,深圳大学

信息交换技术,2013秋季、2014秋季,深圳大学

离散数学,2014春季、2017春季,深圳大学

多媒体技术,2014春季、2015春季,深圳大学

高级数据库技术,2015秋季,深圳大学

社区搜索算法导论,2016秋季,深圳大学

算法设计与分析,2016秋季,深圳大学

Copyright © 2018 李荣华的个人信息 | Designed by Rong-Hua Li | 更新时间2022.5.16